Triple

T23179824
Position Surface form Disambiguated ID Type / Status
Subject There Will Be a Light E579427 entity
Predicate hasPart P35 FINISHED
Object "Take My Hand" E339745 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: "Take My Hand" | Statement: [There Will Be a Light, hasPart, "Take My Hand"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Take My Hand"
Context triple: [There Will Be a Light, hasPart, "Take My Hand"]
  • A. Take My Hand chosen
    "Take My Hand" is a song featured on the soundtrack of the 1993 romantic crime film *True Romance*.
  • B. Take My Hand
    "Take My Hand" is a song by Czech musician and producer Patrik Berger, known for his work in pop and electronic music.
  • C. Take Hold of My Hand
    "Take Hold of My Hand" is a song by American singer-songwriter Dwight Yoakam from his album "3 Pears."
  • D. Hold My Hand
    "Hold My Hand" is a power ballad by Lady Gaga that serves as the emotional theme song for the 2022 film Top Gun: Maverick.
  • E. Hold My Hand
    "Hold My Hand" is a popular country song by American singer Darius Rucker, known for its uplifting lyrics and crossover appeal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6dad948190a64f80f2c9e8e4cb completed April 29, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30b0157c81909f0dad0a84b0af33 completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:04 p.m.